Yang Yuan
29 papers · 2013–2025 · 9 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (15) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (9)
π
Academic Marathon
(12)
πΊοΈ
Taxonomy Completionist
(15)
π
Interdisciplinary Bridge
π
Triple Crown
π§¬
Topic Evolution
π
Keyword Champion
ποΈ
Keyword Collector
(124)
β‘
Prolific Year
(5)
π
Conference Pioneer
π
Century Club
(29)
π₯
Unstoppable
(5)
π
Trend Setter
β
The Questioner
Conferences
ICML (10)
NIPS (8)
ICLR (4)
ACL (2)
COLT (1)
ECCV (1)
ICCV (1)
JMLR (1)
NSDI (1)
Top co-authors
Keywords
stochastic gradient descent
(7)
non-convex optimization
(3)
empirical risk minimization
(2)
combinatorial multi-armed bandit
(2)
representation learning
(2)
mathematical reasoning
(2)
generalization bound
(2)
convergence analysis
(2)
saddle point
(2)
local minimum
(2)
regret bound
(2)
ucb algorithm
(2)
online learning
(2)
accelerated coordinate descent
(2)
compressed sensing
(1)
neural network training
(1)
adversarial robustness
(1)
learning theory
(1)
matrix decomposition
(1)
certified robustness
(1)
Papers
Hierarchical Attention Generates Better Proofs
ACL 2025
Autonomous Data Selection with Zero-shot Generative Classifiers for Mathematical Texts
ACL 2025
Contrastive Learning is Spectral Clustering on Similarity Graph
ICLR 2024
Information Flow in Self-Supervised Learning
ICML 2024
Matrix Information Theory for Self-Supervised Learning
ICML 2024
On the Power of Foundation Models
ICML 2023
Predictive Inference with Feature Conformal Prediction
ICLR 2023
Trade-off Between Efficiency and Consistency for Removal-based Explanations
NIPS 2023
Towards Data-Algorithm Dependent Generalization: a Case Study on Overparameterized Linear Regression
NIPS 2023
On Uni-Modal Feature Learning in Supervised Multi-Modal Learning
ICML 2023
Finding Generalization Measures by Contrasting Signal and Noise
ICML 2023
Towards Understanding Generalization via Decomposing Excess Risk Dynamics
ICLR 2022
T-SCI: A Two-Stage Conformal Inference Algorithm with Guaranteed Coverage for Cox-MLP
ICML 2021
Learning-Based Low-Rank Approximations
NIPS 2019
Asymmetric Valleys: Beyond Sharp and Flat Local Minima
NIPS 2019
Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers
NIPS 2019
Semi-Oblivious Traffic Engineering: The Road Not Taken
NSDI 2018
Expanding Holographic Embeddings for Knowledge Completion
NIPS 2018
Deep Multi-Task Learning to Recognise Subtle Facial Expressions of Mental States
ECCV 2018
Hyperparameter optimization: a spectral approach
ICLR 2018
An Alternative View: When Does SGD Escape Local Minima?
ICML 2018
Convergence Analysis of Two-layer Neural Networks with ReLU Activation
NIPS 2017
Attribute-Enhanced Face Recognition With Neural Tensor Fusion Networks
ICCV 2017
Even Faster Accelerated Coordinate Descent Using Non-Uniform Sampling
ICML 2016
Improved SVRG for Non-Strongly-Convex or Sum-of-Non-Convex Objectives
ICML 2016
Combinatorial Multi-Armed Bandit and Its Extension to Probabilistically Triggered Arms
JMLR 2016
Exploiting the Structure: Stochastic Gradient Methods Using Raw Clusters
NIPS 2016
Escaping From Saddle Points β Online Stochastic Gradient for Tensor Decomposition
COLT 2015
Combinatorial Multi-Armed Bandit: General Framework and Applications
ICML 2013